layiq

/la·yiq/adjective

worthy; deserving; fitting; suitable.

A role, opportunity, or path that merits attention, time, and pursuit.

Senior Manager, Machine Learning Engineering at Metropolis | LAYIQ

10+ years of professional experience in data and machine learning engineering with proven expertise in building enterprise-scale, auditable ETL pipelines and data governance mechanisms
5+ years of experience in leadership and management, ideally having managed other managers
MS or PhD in computer science and/or a quantitative discipline
Strong experience in distributed data processing like Apache Spark, Kafka, Cloud native data storage and processing services
1+ years experience building data /eval pipelines and deploying agentic AI solutions (LLMs and/or VLMs)
Experience managing technical programs, defining milestones, and communicating progress to diverse audiences
Familiarity with deep learning frameworks such as TensorFlow or PyTorch
Strong proficiency with SQL and Python
Engage effectively with external data providers and vendors
Familiarity with computer vision systems and models (e.g. object detection, tracking, segmentation)
While not required, these are a plus: Manage large scale datasets and database tools for data processing
Deploy ML services to the cloud with a focus on scalability and reliability
Operate in innovative, high-growth environments
4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection
When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $200,000.00 USD to $250,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis’s total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more.

Senior Manager, Machine Learning Engineering

Employer job description

What you'll do

What we're looking for

Equal opportunity and accommodations

About this listing